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chorariaCommunity Manager

Xcall now supports array inputsNews

Xcall now supports array inputsPreviously, Xcall users could only make one API call per user-defined function, and each input and output needed to be defined individually. This made Xcalls for models with multiple inputs and outputs somewhat complicated to set up and especially challenging to debug. Now that Xcall works as an array function, users can select multiple input names and values at the same time, and Xcall will match the inputs and the values based on their position. This means you can make multiple Xcalls from a single UDF! You can also specify your output template as an array, drastically simplifying your Xcall UDFs. For example, let’s say you have a model with 13 inputs and 7 outputs. Previously, running 10 scenarios through this model would have required setting up 28+ parameters for each output and resulted in 70 UDFs. Using arrays, the same result can be achieved using a single UDF and only 4 parameters. Execute API v4This month, we’re excited to roll out a new version

chorariaCommunity Manager

Custom BrandingNews

Custom BrandingSpark now supports custom branding! Tenants may be configured to display a different logo in place of the Coherent logo. With your own logo in place, you can present Spark as an integral part of your technology solution and give your employees and customers confidence that they are using an internally approved and vetted application. For now, Coherent must enable custom branding for you via tenant configuration; soon, however, tenant admins will be able to do so on their own. Once enabled, tenant admins simply upload the logo and it will be displayed the next time they log in. Webhook ConfigurationIn March we introduced the ability to create webhooks in Spark, now we’ve added the ability to configure and enable webhooks via the new Webhook configuration section of Tenant configuration.Webhooks allow you to export event data (which is typically seen in the Recent activity panel within the Spark UI) and process or log it within your own systems. You can then set up workflo

Donald.LuiSparketeer

How do I compare testbed result across 2 different versions of rater (API)?

Hi, I have 2 versions of a rater. I would like to test the same testbed across the 2 rater and see the difference. Is there an easy way to compare 2 raters with the same test bed?

floherentSparketeer

API endpoint for compiling Excel files into WASM modules programmatically

Is there an API endpoint I can hit to compile an Excel file into a WASM module and retrieve that module to run it offline through my hybrid runner? If yes, can I specify which Neuron version I’d like to use for this operation?

Donald.LuiSparketeer

What happens to my testbed if I add a variable to my model?

What happens to my testbed if I add a variable to my model? I initially have a test bed and it work but then i added a new variable to my mode, does that test bed still work?

chorariaCommunity Manager

Size limit on execute endpoint

Is there a size limit for an input request data and/or output response data when using the execute endpoint?

chorariaCommunity Manager

Administration & Service ManagementNews

Neuron version selectionOur newest release provides users additional control over the version of Neuron used to compile a service. This is helpful to provide consistency across a suite of services, especially if you’d like to perform additional testing on the newest version of Neuron before upgrading. Currently, all new services use the newest version of Neuron by default. Now, tenant admins can choose a default behavior for both new services and new versions of existing services. For new services, they can specify one version of Neuron or choose between the most recent stable version (RecentStable) or a more “bleeding-edge” ReleaseCandidate version, which will include any additional updates outside our standard release schedule. For updates to existing services, the new default behavior is to use the same Neuron version as the original service, however, admins may also choose RecentStable or ReleaseCandidate.Along the same lines, previously, any service compiled using an older versio

chorariaCommunity Manager

Targeted testing - generate random testbed for selected subservicesNews

Spark’s Test Case generation feature allows you to test services at scale, saving hours of manual effort. Whether it’s tens or thousands of scenarios you need to test, Spark can generate them using random data for your services' inputs, within the bounds you specify. With this release, you can limit your test to specified subservices as well, so you can focus on the things that matter. How to generate random test cases in Spark Navigate to Testing Center in Spark and click New Testbed. From the modal window, click Open test case generator. Complete the fields in the modal window: Testbed name Version Subservices In the dropdown, deselected any sub-services that are not required for the test. Only sub-services which are available in the selected version of the service will be listed here. Number of test cases Testbed description (optional) Click Next and enter your desired boundary limits for your selected fields. Inputs for deselected services will not display he

chorariaCommunity Manager

Meet the Community | Introduce Yourself

Heyo peeps 👋🏽My name is Sourabh and I’m a Community Manager at Coherent. Thrilled to be here with you and have the opportunity to create a space where all users can come together to connect, collaborate, co-create, and share knowledge with one another. Let's work hand in hand to make this community a vibrant hub of learning and collaboration.It would be wonderful if you could take a moment to introduce yourself in this thread. Share details such as your workplace, location, role, and how you utilize Coherent Spark.Don't hesitate to include any other interesting tidbits about yourself or even a fun photo. This is a fantastic opportunity for all of us to get to know each other better and build a strong community!

Donald.LuiSparketeer

What is the max excel file size (MB) that I can upload to Spark to convert into an API?

What is the max file size that spark allows to upload?

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